课题基金 / 基金详情

Parallelization and cross-correlation of change detection using multi-temporal, multi-source satellite imagery

Parallelization and cross-correlation of change detection using multi-temporal, multi-source satellite imagery
使用多时相、多源卫星图像进行变化检测的并行化和互相关
批准号:
461033-2013
负责人:
McGuire, Michael
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
翻译
生物圈管理系统公司(BMSI)与Urthecast Inc.(UrtheCast)是一家总部位于温哥华的公司,专门从事商业地球观测系统。目前,BMSI正在寻求设计和开发一个交互式软件系统,该系统(i)为用户提供在使用多时相卫星图像检测变化方面监测某些地理位置的能力,以及(ii)通过大量计算单元之间的任务并行化来利用现代计算范例(例如云计算),以提供快速和高效的用户体验。BMSI已经与维多利亚大学接洽,设计和开发一个满足这些目标的工作原型解决方案。在这种情况下,这个项目涉及到选择一组变化检测技术,适合BMSI的问题域,设计和开发一个软件,提供所选技术的功能的方式,支持任务并行化,并调查如何不同的变化检测技术的结果之间的相关性可以用来表示在检测到的变化的置信水平。原型解决方案将包括一个基于网络的前端,用户可以在其中与系统进行互动,以便在不同情况下查看地理位置的状态(变化/无变化),以及一个支持变化检测技术和云部署并行化的后端系统。
英文摘要
Biosphere Management Systems Inc. (BMSI), in association with Urthecast Inc. (UrtheCast), is a Vancouver-based company specializing in commercial earth observation systems. Currently, BMSI is seeking to design and develop an interactive software system that (i) provides users with the ability to monitor certain geographical locations in terms of detecting change using multi-temporal satellite imagery, and (ii) leverages modern computing paradigms such as cloud computing through parallelization of tasks among a vast number of computational units to deliver a fast and efficient user experience. BMSI has approached the University of Victoria to design and develop a working prototype solution that meets these objectives. In this context, this project involves selecting a set of change detection techniques that are suitable for BMSI's problem domain, designing and developing a software that provides the functionality of the selected techniques in a way that supports task parallelization, and investigating how correlations among the results of different change detection techniques can be used to represent the level of confidence in the detected change. The prototype solution will consist of a web-based front-end where the users can interact with the system in order to view the status (change/no change) of a geographical location at different instances, and a back-end system that supports parallelization of change detection techniques and cloud deployment.
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Multi-core Signal Processing for Advanced Wireless Devices
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